Publications

📜 Thesis

• Anomaly-based network intrusion detection using machine learning
  Maxime Labonne
  Polytechnic Institute of Paris (Institut Polytechnique de Paris), 2020

📝 Proceedings

• Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection
  Maxime Labonne, Sean Moran
  Arxiv
• Toward Formal Data Set Verification for Building Effective Machine Learning Models
  Jorge López, Maxime Labonne, Claude Poletti
  KDIR 2021 - 13th International Conference on Knowledge Discovery and Information Retrieval
• Short-Term Flow-Based Bandwidth Forecasting using Machine Learning
  Maxime Labonne, Jorge López, Claude Poletti, Jean-Baptiste Munier
  2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)
• Priority flow admission and routing in sdn: Exact and heuristic approaches
  Jorge López, Maxime Labonne, Claude Poletti, Dallal Belabed
  2020 IEEE 19th International Symposium on Network Computing and Applications (NCA)
• Predicting Bandwidth Utilization on Network Links Using Machine Learning
  Maxime Labonne, Charalampos Chatzinakis, Alexis Olivereau
  2020 European Conference on Networks and Communications (EuCNC)
• Unsupervised protocol-based intrusion detection for real-world networks
  Maxime Labonne, Alexis Olivereau, Baptise Polvé, Djamal Zeghlache
  2020 International Conference on Computing, Networking and Communications (ICNC)
• A Cascade-structured Meta-Specialists Approach for Neural Network-based Intrusion Detection
  Maxime Labonne, Alexis Olivereau, Baptiste Polvé, Djamal Zeghlache
  2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)
• Anomaly detection in vehicle-to-infrastructure communications
  Michele Russo, Maxime Labonne, Alexis Olivereau, Mohammad Rmayti
  2018 IEEE 87th Vehicular Technology Conference (VTC Spring)